3 papers
cs.LG2025
From Observation to Orientation: an Adaptive Integer Programming Approach to Intervention Design
Abdelmonem Elrefaey, Rong Pan
Using both observational and experimental data, a causal discovery process can identify the causal relationships between variables. A unique adaptive intervention design paradigm i…
cs.LG2024
Causal Discovery by Interventions via Integer Programming
Abdelmonem Elrefaey, Rong Pan
Causal discovery is essential across various scientific fields to uncover causal structures within data. Traditional methods relying on observational data have limitations due to c…
cs.LG2024
MEC-IP: Efficient Discovery of Markov Equivalent Classes via Integer Programming
Abdelmonem Elrefaey, Rong Pan
This paper presents a novel Integer Programming (IP) approach for discovering the Markov Equivalent Class (MEC) of Bayesian Networks (BNs) through observational data. The MEC-IP al…